Real time Optimal Allocation for I-AUV with Interacting Thrusters

Global Oceans 2020: Singapore – U.S. Gulf Coast(2020)

引用 0|浏览3
暂无评分
摘要
Energy saving is a relevant issue for battery powered Intervention Autonomous Underwater Vehicles which are designed for both short and long-range mission. The energy consumption of an I-AUV is affected by several effects like hydrodynamics, onboard electronics and thrusters cross-couplings. I-AUVs are usually over-actuated system, thus the actuator's interaction takes relevance and should take part within the energy saving process. In this paper the authors present a study on optimal control allocation that aims at considering the interactions between the propellers of an over actuated vehicle where usually two or more thrusters can interfere each other resulting in reduction of the allocation efficiency. The paper presents the mathematical formulation for interacting propeller considering the wake effect and proposes to dynamically adjust the control allocation matrix in order to obtain a cost effective control allocation without modifying the control layer. The existence of a minimum in the energy consumption during the cruising task in function of the parametric control allocation matrix is proved numerically. Thus a perturbation-based extremum seeking approach is used in order to dynamically adapt the parametric allocation matrix and seek the optimal allocation setpoint without explicit knowledge of the real coupling.
更多
查看译文
关键词
short-range mission,perturbation-based extremum seeking approach,thrusters interaction,optimal allocation setpoint,parametric control allocation matrix,control layer,cost effective control allocation,wake effect,mathematical formulation,allocation efficiency,actuated vehicle,propellers,optimal control allocation,energy saving process,actuator,over-actuated system,onboard electronics,hydrodynamics,energy consumption,long-range mission,Intervention Autonomous Underwater Vehicles,battery,I-AUV,real-time optimal allocation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要